Mimi C. Sammarco

1.2k total citations
32 papers, 905 citations indexed

About

Mimi C. Sammarco is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mimi C. Sammarco has authored 32 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Surgery and 4 papers in Genetics. Recurrent topics in Mimi C. Sammarco's work include Reconstructive Surgery and Microvascular Techniques (5 papers), Mitochondrial Function and Pathology (4 papers) and Wound Healing and Treatments (4 papers). Mimi C. Sammarco is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (5 papers), Mitochondrial Function and Pathology (4 papers) and Wound Healing and Treatments (4 papers). Mimi C. Sammarco collaborates with scholars based in United States and Germany. Mimi C. Sammarco's co-authors include Ed Grabczyk, Jennifer Simkin, Ken Muneoka, Scott Ditch, Lindsay Dawson, Luis Marrero, Ayan Banerjee, Keith Van Meter, Ling Yu and Danielle Fassler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mimi C. Sammarco

29 papers receiving 898 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mimi C. Sammarco United States 17 583 159 156 114 100 32 905
Nena J. Winand United States 17 1.1k 1.9× 171 1.1× 86 0.6× 339 3.0× 55 0.6× 27 1.5k
Naoyuki Chosa Japan 19 362 0.6× 99 0.6× 128 0.8× 39 0.3× 25 0.3× 47 1.1k
Lars Mecklenburg Germany 22 629 1.1× 76 0.5× 66 0.4× 147 1.3× 34 0.3× 47 1.8k
Irina Kramerova United States 22 1.4k 2.4× 108 0.7× 358 2.3× 157 1.4× 30 0.3× 32 1.8k
Sven Müller‐Röver Germany 21 1.1k 1.8× 72 0.5× 188 1.2× 129 1.1× 35 0.3× 25 3.3k
Laurent Turchi France 24 776 1.3× 209 1.3× 73 0.5× 122 1.1× 16 0.2× 36 1.5k
Jessica A. Lehoczky United States 16 548 0.9× 119 0.7× 46 0.3× 203 1.8× 79 0.8× 33 903
Mari K. Davidson United States 20 1.1k 1.9× 42 0.3× 182 1.2× 113 1.0× 72 0.7× 41 1.4k
Mary E. Herndon United States 12 662 1.1× 74 0.5× 151 1.0× 94 0.8× 31 0.3× 14 1.2k

Countries citing papers authored by Mimi C. Sammarco

Since Specialization
Citations

This map shows the geographic impact of Mimi C. Sammarco's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mimi C. Sammarco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mimi C. Sammarco more than expected).

Fields of papers citing papers by Mimi C. Sammarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mimi C. Sammarco. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mimi C. Sammarco. The network helps show where Mimi C. Sammarco may publish in the future.

Co-authorship network of co-authors of Mimi C. Sammarco

This figure shows the co-authorship network connecting the top 25 collaborators of Mimi C. Sammarco. A scholar is included among the top collaborators of Mimi C. Sammarco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mimi C. Sammarco. Mimi C. Sammarco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sammarco, Mimi C., et al.. (2025). Spatial transcriptomics in bone research: navigating hype and hurdles. Pathology. 58(2). 243–249.
2.
Xiao, Xue, Tingsheng Yu, Cedric R. Uytingco, et al.. (2023). Spatial transcriptomic interrogation of the murine bone marrow signaling landscape. Bone Research. 11(1). 59–59. 20 indexed citations
3.
4.
Tower, Robert J., et al.. (2022). Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration. eLife. 11. 22 indexed citations
5.
Simkin, Jennifer, et al.. (2021). Age-Dependent Changes in Bone Architecture, Patterning, and Biomechanics During Skeletal Regeneration. Frontiers in Cell and Developmental Biology. 9. 749055–749055. 5 indexed citations
6.
Hoffmann, Joseph P., Jessica Friedman, Yihui Wang, et al.. (2020). In situ Treatment With Novel Microbiocide Inhibits Methicillin Resistant Staphylococcus aureus in a Murine Wound Infection Model. Frontiers in Microbiology. 10. 3106–3106. 27 indexed citations
7.
8.
Starr, Charles G., Jenisha Ghimire, Shantanu Guha, et al.. (2020). Synthetic molecular evolution of host cell-compatible, antimicrobial peptides effective against drug-resistant, biofilm-forming bacteria. Proceedings of the National Academy of Sciences. 117(15). 8437–8448. 60 indexed citations
9.
Tucker, H. Alan, Katie C. Russell, Georgina L Dobek, et al.. (2019). Survival of aging CD264+ and CD264− populations of human bone marrow mesenchymal stem cells is independent of colony‐forming efficiency. Biotechnology and Bioengineering. 117(1). 223–237. 10 indexed citations
10.
Simkin, Jennifer, Luis Marrero, Regina Brunauer, et al.. (2019). Sirtuin 3 deficiency does not impede digit regeneration in mice. Scientific Reports. 9(1). 16491–16491. 13 indexed citations
11.
Simkin, Jennifer, Mimi C. Sammarco, Luis Marrero, et al.. (2017). Macrophages are required to coordinate mouse digit tip regeneration. Development. 144(21). 3907–3916. 70 indexed citations
12.
Simkin, Jennifer, Mimi C. Sammarco, Lindsay Dawson, et al.. (2015). Epidermal closure regulates histolysis during mammalian (Mus) digit regeneration. PubMed. 2(3). 106–119. 44 indexed citations
13.
Scarritt, Michelle E., Ryan W. Bonvillain, Brian J. Burkett, et al.. (2013). Hypertensive Rat Lungs Retain Hallmarks of Vascular Disease upon Decellularization but Support the Growth of Mesenchymal Stem Cells. Tissue Engineering Part A. 20(9-10). 1426–1443. 26 indexed citations
14.
Sammarco, Mimi C., et al.. (2010). Transposon Tn7 Preferentially Inserts into GAA•TTC Triplet Repeats under Conditions Conducive to Y•R•Y Triplex Formation. PLoS ONE. 5(6). e11121–e11121. 3 indexed citations
15.
Ditch, Scott, Mimi C. Sammarco, Ayan Banerjee, & Ed Grabczyk. (2009). Progressive GAA·TTC Repeat Expansion in Human Cell Lines. PLoS Genetics. 5(10). e1000704–e1000704. 52 indexed citations
16.
Banerjee, Ayan, Mimi C. Sammarco, Scott Ditch, Jeffrey Wang, & Ed Grabczyk. (2009). A Novel Tandem Reporter Quantifies RNA Polymerase II Termination in Mammalian Cells. PLoS ONE. 4(7). e6193–e6193. 26 indexed citations
17.
Banerjee, Ayan, Mimi C. Sammarco, Scott Ditch, & Ed Grabczyk. (2009). A dual reporter approach to quantify defects in messenger RNA processing. Analytical Biochemistry. 395(2). 237–243. 3 indexed citations
18.
Sammarco, Mimi C., et al.. (2007). Ferritin L and H Subunits Are Differentially Regulated on a Post-transcriptional Level. Journal of Biological Chemistry. 283(8). 4578–4587. 76 indexed citations
19.
Sammarco, Mimi C. & Ed Grabczyk. (2005). A series of bidirectional tetracycline-inducible promoters provides coordinated protein expression. Analytical Biochemistry. 346(2). 210–216. 17 indexed citations
20.
Carroll, Marion L., Astrid M. Roy‐Engel, Son Nguyen, et al.. (2001). Large-scale analysis of the Alu Ya5 and Yb8 subfamilies and their contribution to human genomic diversity. Journal of Molecular Biology. 311(1). 17–40. 129 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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